CN110133661A - A kind of phase history modeling compensation coherent accumulation snr loss method - Google Patents
A kind of phase history modeling compensation coherent accumulation snr loss method Download PDFInfo
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- CN110133661A CN110133661A CN201910402484.5A CN201910402484A CN110133661A CN 110133661 A CN110133661 A CN 110133661A CN 201910402484 A CN201910402484 A CN 201910402484A CN 110133661 A CN110133661 A CN 110133661A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The present invention relates to a kind of phase histories to model compensation coherent accumulation snr loss method, it receives and caches including original I Q data, it is each that average phase changing value calculates between arteries and veins in processing unit, phase history modeling is realized according to average phase changing value between arteries and veins and first phase, a sequence of complex numbers is constructed according to phase history modeling data and initial data carries out dot product, to eliminate phase of echo variation, coherent accumulation processing is carried out to the I/Q data after Phase Shift Offset, it is limited with realizing and solving coherent accumulation points by the coherent accumulation time, coherent accumulation snr loss caused by can changing simultaneously to phase of echo compensates.
Description
Technical field
The present invention relates to radar signal processing fields, and in particular to a kind of phase history modeling compensation coherent accumulation signal-to-noise ratio
Loss method.
Background technique
In weather radar digital information processing system, especially in cloud detection radar and Wind profile radar signal processing, need
Coherent accumulation to be used improving Detection of Weak Signals ability, reducing pulsation and carrying out quality control.Coherent accumulation time domain into
Row is averaging processing a certain number of pulse echo signals, is time domain average mistake under conditions of signal keeps relevant
Journey, main purpose is to improve signal-to-noise ratio, so that radar receiver be made to be able to detect that useful small-signal.
The principle that coherent accumulation improves signal-to-noise ratio is as follows:
When coherent accumulation, composite signal general power is A2Shown in (formula 1), a1、a2For time series complex signal:
(1) for echo pulse signal, it is periodic signal, can carry out same-phase and add up, i.e. a1=a2, (formula 1) becomes
(formula 2):
There are excess powers to increase item 2a after adding up1a2。
It (2) is random signal for noise, cos (a when adding up1-a2) it is random value, it can offset one by one, therefore have (formula 3):
I.e. noise cannot get excess power increase in adding up.
(3) when accumulation number M is very big, it will appear many 2a in signaliaj, greatly improve signal-to-noise ratio.
As seen from the above analysis, coherent accumulation is the effective ways for improving signal-to-noise ratio.It is non-in signal coherence and noise
Under conditions of relevant, coherent accumulation is directly proportional to accumulation number M to the improvement of signal-to-noise ratio.Obviously, on condition that accumulation will kept
It is carried out under conditions of signal coherence.The incoherent signal of phase is added, as being added noise, there is no improve signal-to-noise ratio
Effect；Not only even incoherent signal is added the effect for not having and improving signal-to-noise ratio, signal-to-noise ratio can also be made to become worse.Signal
Keep the length of coherence time related with atmospheric condition, it is also related with radar the machine performance.Influence the atmosphere of signal coherence time
Factor, mainly related with particle detection moving situation, particle detection movement causes the phase change of echo then signal coherence fastly
Integration time is short, otherwise then the coherent accumulation time is long slowly for the phase change of echo.The speed of phase change can all cause relevant product
The tired loss that signal-to-noise ratio is improved.Different accumulation numbers and phase offset (speed) are affected to coherent accumulation.With
The increase of coherent accumulation number, coherent accumulation bring signal-to-noise ratio benefit is bigger by phase effect, may rise in some cases
To reaction.
As seen from the above analysis, to solve coherent accumulation points by the coherent accumulation time limited and arteries and veins between phase
Coherent accumulation snr loss caused by position changes, key problem are that the phase between finding a method compensation echo impulse becomes
Change.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of phase histories to model compensation coherent accumulation letter
It makes an uproar than loss method, the present invention is able to solve coherent accumulation in weather radar application to be influenced and phase change is drawn by integration time
Play snr loss's problem of coherent accumulation.In order to solve this problem, using first calculate it is each in processing unit between arteries and veins put down
Equal phase change value realizes phase history modeling according to average phase changing value between arteries and veins and first phase, models number according to phase history
Dot product is carried out according to one sequence of complex numbers of building and initial data, to eliminate phase of echo variation, to the IQ after Phase Shift Offset
Data carry out coherent accumulation processing, realize that solve coherent accumulation points is limited by the coherent accumulation time, while can be to echo phase
Coherent accumulation snr loss caused by position changes compensates.
The purpose of the present invention is achieved through the following technical solutions:
A kind of phase history modeling compensation coherent accumulation snr loss method, processing step are as follows:
1) echo I/Q data is received, LDA signal processor receiving front-end digital intermediate frequency receives the I/Q data of output, goes forward side by side
Row caching, in case subsequent processing needs；
2) processing of normal meteorological radar echo signal is carried out, the echo average Doppler speed of each distance unit is sought；
3) according to average Doppler speed, each distance unit average phase changing value θ is calculated；
4) first phase φ is sought according to the I/Q data of the 1st PRT of each distance unit；Changed according to first phase and average phase
Value, realize phase history modeling: φ, φ+θ, φ+2* θ ... φ+(N-1) * θ；
5) according to phase history modeling data, plural array: conj (cos (φ)+j*sin (φ)), conj is constructed
(cos(φ+θ)+j*sin(φ+θ))……conj(cos(φ+(N-1)θ)+j*sin(φ+(N-1)θ))；With initial data into
Row dot product, the phase change between compensated pulse；
6) coherent accumulation is carried out to the data after phase compensation, realizes that phase history modeling compensates coherent accumulation, output
Compensated Coherent processing result.
Further, the echo I/Q data refers to I, Q data in an input sequences of echo signals S, for single channel
Signal strength Z then has:
Z=| I+Q |2=SS*=I2+Q2。
Further, in order to increase the estimated accuracy of intensity, while in order to reduce the influence of noise jamming, intensity value need to be into
Being averaged in row azimuth-range, then have:
Further, the coherent accumulation in the step 6) is to carry out 2 to input signal sequence S in time domainnIt is secondary optional
Accumulation, i.e., respective distances door echo is averagedIts calculation formula is:
Wherein N indicates pulse point to be treated
Number.
Further, the coherent accumulation compensation process in the step 6) is as follows:
(1) phase change average value between arteries and veins is found out
For directly carrying out auto-correlation computation, the reflection of single order auto-correlation in time domain in weather radar Time Domain Processing mode
Phase change between arteries and veins, expression formula are as follows:
Wherein, M is time averaging umber of pulse, according to single order auto-correlation, calculates each distance unit average phase variation
Value θ；
(2) first phase φ is sought according to the I/Q data of the 1st PRT of each distance unit；Changed according to first phase and average phase
Value, realize phase history modeling: φ, φ+θ, φ+2* θ ... φ+(N-1) * θ；
(3) according to phase history modeling data, construct a plural number array A:conj (cos (φ)+j*sin (φ)),
conj(cos(φ+θ)+j*sin(φ+θ))……conj(cos(φ+(N-1)θ)+j*sin(φ+(N-1)θ))；With original number
According to carrying out dot product, the phase change between compensated pulse；Wherein conj () is the conjugation for taking plural number；
(4) phase change between pulse is eliminated using phase history modeling data, obtains a new timing signal sequence
S1；
S1=S × A
(5) to new timing signal sequence S1Carry out coherent accumulation processing
The beneficial effects of the present invention are:
(1) either for S, C or millimere-wave band weather radar radar, coherent accumulation points can be solved using the present invention
It is limited by the coherent accumulation time；
(2) coherent accumulation snr loss caused by changing simultaneously to phase of echo compensates.
It includes that original I Q data receives caching, and each average phase changing value calculates between arteries and veins in processing unit, root
Phase history modeling is realized according to average phase changing value between arteries and veins and first phase, and a plural sequence is constructed according to phase history modeling data
Column carry out dot product with initial data, to eliminate phase of echo variation, carry out coherent accumulation to the I/Q data after Phase Shift Offset
Processing is limited with realizing and solving coherent accumulation points by the coherent accumulation time, while can be to caused by phase of echo variation
Coherent accumulation snr loss compensates.
Detailed description of the invention
Fig. 1 is that coherent accumulation benefit is influenced by phase offset speed；
Fig. 2 is time series phase value and original time phase value after phase history modeling compensation；
Fig. 3 is phase history modeling compensation coherent accumulation snr loss desired signal processing system composition block diagram；
Fig. 4 is flow chart of the invention.
Specific embodiment
Technical solution of the present invention is described in further detail combined with specific embodiments below, but protection scope of the present invention is not
It is confined to as described below.
Coherent accumulation points are solved using the method for the present invention to be limited by the coherent accumulation time, while phase of echo can be become
Coherent accumulation snr loss caused by changing compensates.From the analysis of front it is found that solving coherent accumulation time restriction and letter
Making an uproar than losing the key problem compensated is by the way of phase history modeling, and the phase change of echo data between arteries and veins is fallen in compensation
Above-mentioned two problems can be solved in change.
For an input sequences of echo signals S, S is made of one group of I, Q data, wherein I/Q data meaning: being received
The orthogonal data component that is exported after analog-to-digital conversion, orthogonal transformation of echo-signal.Directly according to I, Q data carrys out estimated strength
Value can intuitively be indicated the intensity of one-channel signal by square (formula 4) of the mould of I, the Q plural number formed:
Z=| I+Q |2=SS*=I2+Q2(formula 4)
In actual treatment, in order to increase the estimated accuracy of intensity, while in order to reduce the influence of noise jamming, intensity value
It need to carry out being averaged in azimuth-range.Shown in calculation formula such as formula (formula 5) and (formula 6).
Pair the specific practice of coherent accumulation is to carry out 2/4/8 inferior optional accumulation to input signal sequence s in time domain, i.e.,
Range gate echo is answered to be averaged.2 coherent accumulations are such as carried out, the strength formula after coherent accumulation is such as shown in (formula 7).
If phase change is 0 between arteries and veins, then the maximization of coherent accumulation benefit is realized；If phase change is not 0 between arteries and veins, then
It can cause coherent accumulation snr loss.To realize that solve coherent accumulation points is limited by the coherent accumulation time, while can be right
Coherent accumulation snr loss caused by phase of echo changes compensates.Compensation coherent accumulation is modeled using a kind of phase history
Snr loss's method, specific as follows:
(1) phase change average value between arteries and veins is found out
For directly carrying out auto-correlation computation, the reflection of single order auto-correlation in time domain in weather radar Time Domain Processing mode
Phase change between arteries and veins, such as shown in (formula 8).
In formula: M is time averaging umber of pulse.
According to single order auto-correlation, each distance unit average phase changing value θ is calculated.
(2) first phase φ (formula 10) is sought according to the I/Q data of the 1st PRT of each distance unit；It is homogeneous according to first phase peace
Position changing value, realize phase history modeling: φ, φ+θ, φ+2* θ ... φ+(N-1) * θ；
(3) according to phase history modeling data, construct a plural number array A:conj (cos (φ)+j*sin (φ)),
conj(cos(φ+θ)+j*sin(φ+θ))……conj(cos(φ+(N-1)θ)+j*sin(φ+(N-1)θ))；With original number
According to carrying out dot product, the phase change between compensated pulse；Wherein conj () is the conjugation for taking plural number, and j indicates the imaginary number list in plural number
Position.
(4) phase change between pulse is eliminated using phase history modeling data, obtains a new timing signal sequence
S1；
S1=S × A (formula 11)
(5) to new timing signal sequence S1Coherent accumulation processing is carried out, because of S1Without phase change, Ji Keshi
It now solves coherent accumulation points to be limited by the coherent accumulation time, while caused coherent accumulation noise can be changed to phase of echo
It is compensated than loss.
Phase change between simulation arteries and veins is carried out using signal source, pulse recurrence frequency is set as 1000Hz, phase change between arteries and veins
It is set as 180 ° (π), time series phase value after original time series phase value and phase history the modeling compensation of actual acquisition
As shown in Figure 2.
As can be seen from Figure 2: time series phase value is a fixed value after carrying out phase history modeling compensation, is eliminated
Phase change between pulse, may be implemented to solve coherent accumulation points to be limited by the coherent accumulation time, while can be to echo
Coherent accumulation snr loss caused by phase change compensates.1, system forms
To realize phase history modeling compensation coherent accumulation snr loss method, a complete weather radar letter is needed
The units such as number processing system, including digital intermediate frequency reception, LDA signal processor composition, forms as shown in figure 3, phase history
Modeling compensation coherent accumulation method is realized in LDA signal processor.
Working principle
It is as shown in Figure 4: according to process flow, phase history modeling compensation coherent accumulation snr loss method processing processing
Steps are as follows:
Step 1: receiving echo I/Q data.LDA signal processor receiving front-end digital intermediate frequency receives the I/Q data of output,
And cached, in case subsequent processing needs；
Step 2: carrying out the processing of normal meteorological radar echo signal, the echo average Doppler of each distance unit is sought
Speed；
Step 3: calculating each distance unit average phase changing value θ according to average Doppler speed；
Step 4: seeking first phase φ according to the I/Q data of the 1st PRT of each distance unit；According to first phase and average phase
Changing value, realize phase history modeling: φ, φ+θ, φ+2* θ ... φ+(N-1) * θ；
Step 5: according to phase history modeling data, a plural array is constructed: conj (cos (φ)+j*sin (φ)),
conj(cos(φ+θ)+j*sin(φ+θ))……conj(cos(φ+(N-1)θ)+j*sin(φ+(N-1)θ))；With original number
According to carrying out dot product, the phase change between compensated pulse；
Step 6: carrying out coherent accumulation to the data after phase compensation, realize that phase history modeling compensates coherent accumulation,
Export compensated Coherent processing result.Complete entire phase history modeling compensation coherent accumulation snr loss processing.
Test result
It is inputted using signal source analogue echo, under the conditions of different frequency deviation (representing different phase changes between arteries and veins),
Coherent accumulation compensation is carried out using method of the invention and traditional coherent accumulation snr value comparison is as shown in table 1:
The coherent accumulation compensation and traditional coherent accumulation of 1 the method for the present invention of table calculate intensity value comparison
As it can be seen from table 1 the method for the present invention is concerned between caused by phase change arteries and veins (target echo Doppler frequency shift)
Accumulation snr loss has carried out good compensation；The method of the present invention, can because being compensated phase change arteries and veins simultaneously
Coherent accumulation points are solved to be limited by the coherent accumulation time.
The above is only a preferred embodiment of the present invention, it should be understood that the present invention is not limited to described herein
Form should not be regarded as an exclusion of other examples, and can be used for other combinations, modifications, and environments, and can be at this
In the text contemplated scope, modifications can be made through the above teachings or related fields of technology or knowledge.And those skilled in the art institute into
Capable modifications and changes do not depart from the spirit and scope of the present invention, then all should be in the protection scope of appended claims of the present invention
It is interior.
Claims (5)
1. a kind of phase history modeling compensation coherent accumulation snr loss method, which is characterized in that its processing step is as follows:
1) echo I/Q data is received, LDA signal processor receiving front-end digital intermediate frequency receives the I/Q data of output, and is delayed
It deposits, in case subsequent processing needs；
2) processing of normal meteorological radar echo signal is carried out, the echo average Doppler speed of each distance unit is sought；
3) according to average Doppler speed, each distance unit average phase changing value θ is calculated；
4) first phase φ is sought according to the I/Q data of the 1st PRT of each distance unit；It is real according to first phase and average phase changing value
Existing phase history modeling: φ, φ+θ, φ+2* θ ... φ+(N-1) * θ；
5) according to phase history modeling data, plural array: conj (cos (φ)+j*sin (φ)), conj (cos is constructed
(φ+θ)+j*sin(φ+θ))……conj(cos(φ+(N-1)θ)+j*sin(φ+(N-1)θ))；It is carried out a little with initial data
Multiply, the phase change between compensated pulse；
6) coherent accumulation is carried out to the data after phase compensation, realizes that phase history modeling compensates coherent accumulation, output compensation
Coherent processing result afterwards.
2. a kind of phase history modeling compensation coherent accumulation snr loss method according to claim 1, feature exist
In, the echo I/Q data refers to I, Q data in an input sequences of echo signals S, then has for one-channel signal intensity Z:
Z=| I+Q |2=SS*=I2+Q2。
3. a kind of phase history modeling compensation coherent accumulation snr loss method according to claim 2, feature exist
In in order to increase the estimated accuracy of intensity, while in order to reduce the influence of noise jamming, intensity value need to be carried out in azimuth-range
Be averaged, then have:
4. a kind of phase history modeling compensation coherent accumulation snr loss method according to claim 1, feature exist
In the coherent accumulation in the step 6) is to carry out 2 to input signal sequence S in time domainnSecondary optional accumulation, i.e. respective distances
Door echo is averagedIts calculation formula is:
5. a kind of phase history modeling compensation coherent accumulation snr loss method according to claim 4, feature exist
In the coherent accumulation compensation process in the step 6) is as follows:
(1) phase change average value between arteries and veins is found out
For directly carrying out auto-correlation computation in time domain, single order auto-correlation reflects arteries and veins in weather radar Time Domain Processing mode
Between phase change, expression formula are as follows:
Wherein, M is time averaging umber of pulse, according to single order auto-correlation, calculates each distance unit average phase changing value θ；
(2) first phase φ is sought according to the I/Q data of the 1st PRT of each distance unit；It is real according to first phase and average phase changing value
Existing phase history modeling: φ, φ+θ, φ+2* θ ... φ+(N-1) * θ；
(3) according to phase history modeling data, plural number array A:conj (cos (φ)+j*sin (φ)), a conj are constructed
(cos(φ+θ)+j*sin(φ+θ))……conj(cos(φ+(N-1)θ)+j*sin(φ+(N-1)θ))；With initial data into
Row dot product, the phase change between compensated pulse；Wherein conj () is the conjugation for taking plural number；
(4) phase change between pulse is eliminated using phase history modeling data, obtains a new timing signal sequence S1；
S1=S × A
(5) to new timing signal sequence S1Carry out coherent accumulation processing.
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